Abstract: We describe an efficient contour-based object recognition technique suitable for searching objects in clutter. The key innovation is the use of high-level knowledge concerning the target object so that mid-level visual processes are directly influenced. Using the recently introduced image torque operator, potential locations of objects are first detected as attention points.

Abstract: Analytically predicting the behavior of physical systems is generally not possible. For example, the three dimensional nature of physical systems makes it provably impossible to express closed-­‐form analytical solutions even simple systems. This limitation makes experimentation the primary modality for designing new cyber-­‐physical systems.

Abstract: This project focuses on modern buildings as a natural expression of a cyber-­‐physical system, with many features that are typical to such systems. Modern buildings exhibit a tight integration of sensing, computation, and actuation within multiple physical domains. For example, larger buildings usually contain a sensor network, with a variety of sensors that measure power flow, temperature, relative humidity, carbon monoxide and carbon dioxide.

Abstract: Teaching the methodologies of Cyber Physical System (CPS) design requires good examples that are easy to understand and tools that are commonly used in practice. This paper presents our experiences during the practical execution of model-driven design processes applying a range of state-of-the-art design tools for a novel and simple example from the CPS domain. The Falling Ball example has several properties that support teaching basic design principles of CPSs.

Abstract: Cyber Physical Systems have revolutionized manufacturing to the point that next generation component manufacturing is now referred to as “digital manufacturing.” Parts are made based on digital models that are represented by discrete points or meshes in standard file formats such as STL. The difficulty with these representations is that they can become extremely large when high resolution is desired.

Abstract: Design of cyber-physical systems today relies on executable models. Designers develop models, simulate them, find defects, and improve their designs before the system is built, thus greatly reducing the design costs.

Abstract: Monitoring flow-based systems (FBS) (e.g., water distribution systems) is of paramount importance, due to their economic and health impacts. FBS monitoring has been typically achieved by strategically placed, costly and complex, static sensors. To reduce the cost of monitoring, we propose a mobile wireless sensor network (WSN) system comprised of mobile sensors (their movement aided by the inherent flow) and static beacons which aid locating sensors.

Abstract: Correct functioning of cyber-physical systems is of critical importance. This is more so in the case of safety critical systems such as in medical or automotive applications. Since verification of correctness, in general, is infeasible and testing is exhaustive, it is of critical importance to monitor such system during their operation and detect erroneous behaviors to be acted on.

Abstract: This project develops an integrated design and simulation environment for the creation of miniature capsule robots (MCRs). An MCR is a biocompatible Cyber-Physical System (CPS) designed to operate in the human body to accomplish diagnostic or therapeutic tasks. A typical MCR has to fulfill three main constraints: safety, low power operation and small size. Advances in miniaturization of electronic devices have made MCRs a reality.